S&OP and Demand & Supply Planning learning path: everything to study, topic by topic

Understanding strategic, tactical, and operational planning horizons, time fences, and how granularity and frequency change across the planning timeline

Why Sales & Operations Planning exists: balancing demand and supply, aligning functions, and creating one set of numbers that drives cross-functional decisions

Assessing planning maturity from reactive and siloed through integrated and optimized stages, and identifying the next step to advance an organization

Selecting between qualitative and quantitative forecasting methods, time-series versus causal approaches, and matching method to data availability and demand pattern

Applying statistical forecasting models such as moving average, exponential smoothing, Holt-Winters, and regression, including handling trend and seasonality

Using near-term signals such as point-of-sale, orders, and external data to refine the short-term forecast and reduce latency between demand signal and plan

Incorporating sales, marketing, and customer input into a consensus demand plan, reconciling promotional uplift and new product introductions with the statistical baseline

Evaluating available production and distribution capacity against the demand plan, performing rough-cut capacity planning, and identifying capacity gaps

Driving material requirements from the master schedule using bills of material, lead times, and lot sizing to generate planned orders and manage dependent demand

Developing supply response options when demand exceeds supply, including overtime, alternate sourcing, build-ahead, and rebalancing to meet the plan

Planning under finite capacity and material constraints, allocating constrained supply, and using theory-of-constraints thinking to maximize throughput

Running the standard five-step monthly S&OP cadence from data gathering through demand review, supply review, pre-S&OP, and executive S&OP

Facilitating the demand review meeting to validate the unconstrained consensus demand plan, review assumptions, and surface risks and opportunities

Running the supply review to test the demand plan against capacity and material constraints, develop response scenarios, and prepare balanced recommendations

Leading the executive S&OP meeting to resolve demand-supply imbalances, make trade-off decisions, and commit leadership to a single integrated plan

Sizing safety stock to buffer demand and supply variability, using service-level factors, lead-time variability, and demand variability to set targets

Segmenting products by value and variability using ABC and XYZ analysis to differentiate planning policies, service targets, and review frequencies

Setting and trading off service levels such as fill rate and cycle service level against inventory investment, and connecting targets to customer commitments

Reconciling the operational S&OP plan with the financial plan and annual budget, translating volume into revenue and margin and closing gaps to financial targets

Building and evaluating what-if scenarios across demand, supply, and financial outcomes to stress-test the plan and support risk-aware executive decisions

Evolving S&OP into integrated business planning by extending the horizon, embedding strategy and financials, and driving a single end-to-end management process

Measuring forecast accuracy using metrics such as MAPE, WMAPE, and MAD, choosing the right metric for the context, and interpreting accuracy at the right level of aggregation

Detecting and correcting systematic forecast bias, distinguishing bias from random error, and addressing organizational incentives that drive persistent over- or under-forecasting

Designing a balanced set of planning KPIs across accuracy, service, inventory, and cost, and selecting planning tools and dashboards that drive continuous improvement